Berki-Kiss, D.; Menrad, K. (2022)
Cleaner and Circular Bioeconomy 2, 100008, S. 1-9.
DOI: 10.1016/j.clcb.2022.100008
Berki-Kiss, D.; Menrad, K. (2022)
Sustainable Production and Consumption 29, S. 79-89.
DOI: 10.1016/j.spc.2021.09.026
Although, sustainable consumption is gaining in relevance for consumers and retailers in Germany, pro-social consumption is still often neglected. Therefore, this study investigates factors influencing the purchase intention of German flower buyers in relation to Fairtrade-cut roses based on an online survey of 1,201 flower buyers in retail shops in 2017. As a basic theoretical framework, the Theory of Planned Behavior (TPB) was utilized and extended with two additional constructs. The addition of emotions and perceived consumer effectiveness reveals a strong explanatory power of the model proposed. Data analysis via partial least square structural equation modeling (PLS-SEM) suggests that emotions and subjective norm are the two most influential determinants of intention to purchase Fairtrade roses. However, emotions also significantly influence all determinants of behavioral intention introduced to the extended model. The findings of this study can be used to fine-tune marketing and communication activities related to pro-social and Fairtrade products.
Gamel, J.; Bauer, A.; Decker, T.; Menrad, K. (2022)
Renewable Energy Volume 182 (January 2022), S. 592-601.
DOI: 10.1016/j.renene.2021.09.108
Socially responsible investment (SRI) is an investment strategy which complies with ethical, social, environmental or corporate governance criteria. Investments in renewable energies are commonly regarded as complying with SRI principles. This study aims to deepen the understanding of individuals' intentions to invest in wind energy. As an underlying framework the Theory of Planned Behavior's constructs attitude, subjective norm and perceived behavioral control were used and statistically tested with an online-survey of 592 participants in 2014. Further, this theory was extended by adding the constructs consumption profile and investor profile to the framework. With the inclusion of the two additional constructs the theoretical model turns to be very suitable as it doubled the share of explained variance of behavioral intention from 25% to 50% compared to the Theory of Planned Behavior. The analysis further shows that subjective norms, perceived behavioral control, consumption profile and investor experience have statistically significant influence on investment intentions in wind energy. However, attitudes towards wind energy investments are not a significant predictor of investment intentions. We conclude that, apart from the scientific implications of our results, our findings have practical applications for the conceptual design of wind energy investments.
Haselbeck, F.; Killinger, J.; Menrad, K.; Hannus, T.; Grimm, D. (2022)
Machine Learning with Applications Volume 7, 100239 (2022).
DOI: 10.1016/j.mlwa.2021.100239
Forecasting future demand is of high importance for many companies as it affects operational decisions. This is especially relevant for products with a short shelf life due to the potential disposal of unsold items. Horticultural products are highly influenced by this, however with limited attention in forecasting research so far. Beyond that, many forecasting competitions show a competitive performance of classical forecasting methods. For the first time, we empirically compared the performance of nine state-of-the-art machine learning and three classical forecasting algorithms for horticultural sales predictions. We show that machine learning methods were superior in all our experiments, with the gradient boosted ensemble learner XGBoost being the top performer in 14 out of 15 comparisons. This advantage over classical forecasting approaches increased for datasets with multiple seasons. Further, we show that including additional external factors, such as weather and holiday information, as well as meta-features led to a boost in predictive performance. In addition, we investigated whether the algorithms can capture the sudden increase in demand of horticultural products during the SARS-CoV-2 pandemic in 2020. For this special case, XGBoost was also superior. All code and data is publicly available on GitHub: https://github.com/grimmlab/HorticulturalSalesPredictions.
Emberger-Klein, A.; Schöps, J.; Menrad, K. (2021)
Frontiers in Sustainable Food Systems 5, 764517, S. 1-12.
DOI: 10.3389/fsufs.2021.764517
Lampmann, L.; Emberger-Klein, A.; Menrad, K. (2021)
Frontiers in Nutrition.
DOI: 10.3389/fnut.2021.720392
Nguyen, M.; Emberger-Klein, A.; Menrad, K. (2021)
International Journal of Consumer Studies.
DOI: 10.1111/ijcs.12723
Nguyen, M.; Emberger-Klein, A.; Menrad, K. (2021)
Vortrag bei Konferenz „Food Reformulation – Regulation and Marketing“, 17.-18.6.2021 (digitale Konferenz).
Decker, T.; Lippl, M.; Albrecht, S.; Bauer, K.; Drechsel, P.; Frommeyer, B.; Habermehl, T.; Heider, D.; Holterbosch, J.; Klaene, K.; Koch, J.; Lorenz, M.; Menrad, K.; Muth, L.; Niedermeier, A.; Sängerlaub, S.; Scagnetti, C.; Schewe, G.; Tornow, M.; van den Adel, F.; von Gehlen, K. (2021)
Decker, T.; Lippl, M.; Albrecht, S.; Bauer, K.; Drechsel, P.; Frommeyer, B....
Abschlussbericht, 177 S.
Lampmann, L.; Emberger-Klein, A.; Menrad, K. (2021)
Journal of Consumer Culture, S. 1-19.
DOI: 10.1177%2F14695405211013954
Menrad, K. (2021)
Vortrag auf SAPEA/EU: Biodegradability of plastics – Social sciences webinar. 21.5.2021 (digitale Konferenz).
Nguyen, M.; Emberger-Klein, A.; Menrad, K. (2021)
Kompetenzcluster der Ernährungsforschung. Cluster Conference Competence Cluster Nutrition Research, 17.-19.5.2021, S. 116.
Nguyen, M.; Emberger-Klein, A.; Menrad, K. (2021)
Poster bei Cluster Conference Competence Cluster Nutrition Research, 17.-19.05.2021 (digitale Konferenz).
Menrad, K.; Haselbeck, F.; Berki-Kiss, D.; Decker, T.; Grimm, D.; Hannus, T.; Sparke, K.; Lehberger, M.; Drechsler, M.; Holzapfel, A.; Schröder, S.; Neu, G.; Bertlich, F. (2021)
Menrad, K.; Haselbeck, F.; Berki-Kiss, D.; Decker, T.; Grimm, D.; Hannus, T....
Vortrag auf Statusworkshop der FuE-Projekte im BMEL-Förderschwerpunkt Gartenbau 4.0. 4.-5.5.2021 (digitale Konferenz).
Stahl, F.; Emberger-Klein, A.; Menrad, K. (2021)
Frontiers in Sustainability 2, 624913.
DOI: 10.3389/frsus.2021.624913
Niedermeier, A.; Emberger-Klein, A.; Menrad, K. (2021)
Journal of Cleaner Production 284, 124804.
DOI: 10.1016/j.jclepro.2020.124804
Niedermeier, A.; Emberger-Klein, A.; Menrad, K. (2021)
Business Strategy and Environment 30 (4), S. 1823-1838.
DOI: 10.1002/bse.2718
Menrad, K. (2021)
TUM Forum Sustainability - Wissenschaft, Vernunft & Nachhaltigkeit: Denkanstöße für die Zeit nach Corona, TU München, S. 182-185.
Nguyen, M.; Emberger-Klein, A.; Menrad, K. (2020)
British Food Journal 123 (4), S. 1413-1432.
DOI: 10.1108/BFJ-08-2020-0709
Menrad, K.; Bauer, A. (2020)
Energy Research & Social Science 67, 101509.
DOI: 10.1016/j.erss.2020.101509
T +49 9421 187-200 klaus.menrad[at]hswt.de